Add EE charting functions

docs/notebooks/144_chart_features.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/144_chart_features.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
+    "\n",
+    "**Feature and FeatureCollection Charts**\n",
+    "\n",
+    "Uncomment the following line to install [geemap](https://geemap.org) if needed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# %pip install -U geemap"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Import libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import calendar\n",
+    "import ee\n",
+    "import geemap\n",
+    "from geemap import chart"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geemap.ee_initialize()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## feature_by_feature\n",
+    "\n",
+    "Features are plotted along the x-axis, labeled by values of a selected property. Series are represented by adjacent columns defined by a list of property names whose values are plotted along the y-axis."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ecoregions = ee.FeatureCollection(\"projects/google/charts_feature_example\")\n",
+    "features = ecoregions.select(\"[0-9][0-9]_tmean|label\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geemap.ee_to_df(features)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_property = \"label\"\n",
+    "y_properties = [str(x).zfill(2) + \"_tmean\" for x in range(1, 13)]\n",
+    "\n",
+    "labels = calendar.month_abbr[1:]  # a list of month labels, e.g. ['Jan', 'Feb', ...]\n",
+    "\n",
+    "colors = [\n",
+    "    \"#604791\",\n",
+    "    \"#1d6b99\",\n",
+    "    \"#39a8a7\",\n",
+    "    \"#0f8755\",\n",
+    "    \"#76b349\",\n",
+    "    \"#f0af07\",\n",
+    "    \"#e37d05\",\n",
+    "    \"#cf513e\",\n",
+    "    \"#96356f\",\n",
+    "    \"#724173\",\n",
+    "    \"#9c4f97\",\n",
+    "    \"#696969\",\n",
+    "]\n",
+    "title = \"Average Monthly Temperature by Ecoregion\"\n",
+    "x_label = \"Ecoregion\"\n",
+    "y_label = \"Temperature\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = chart.feature_by_feature(\n",
+    "    features,\n",
+    "    x_property,\n",
+    "    y_properties,\n",
+    "    colors=colors,\n",
+    "    labels=labels,\n",
+    "    title=title,\n",
+    "    x_label=x_label,\n",
+    "    y_label=y_label,\n",
+    ")\n",
+    "fig"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/MZa99Vf.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## feature.by_property"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ecoregions = ee.FeatureCollection(\"projects/google/charts_feature_example\")\n",
+    "features = ecoregions.select(\"[0-9][0-9]_ppt|label\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geemap.ee_to_df(features)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "keys = [str(x).zfill(2) + \"_ppt\" for x in range(1, 13)]\n",
+    "values = calendar.month_abbr[1:]  # a list of month labels, e.g. ['Jan', 'Feb', ...]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_properties = dict(zip(keys, values))\n",
+    "series_property = \"label\"\n",
+    "title = \"Average Ecoregion Precipitation by Month\"\n",
+    "colors = [\"#f0af07\", \"#0f8755\", \"#76b349\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = chart.feature_by_property(\n",
+    "    features,\n",
+    "    x_properties,\n",
+    "    series_property,\n",
+    "    title=title,\n",
+    "    colors=colors,\n",
+    "    x_label=\"Month\",\n",
+    "    y_label=\"Precipitation (mm)\",\n",
+    "    legend_location=\"top-left\",\n",
+    ")\n",
+    "fig"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/6RhuUc7.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## feature_groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ecoregions = ee.FeatureCollection(\"projects/google/charts_feature_example\")\n",
+    "features = ecoregions.select(\"[0-9][0-9]_ppt|label\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "features = ee.FeatureCollection(\"projects/google/charts_feature_example\")\n",
+    "x_property = \"label\"\n",
+    "y_property = \"01_tmean\"\n",
+    "series_property = \"warm\"\n",
+    "title = \"Average January Temperature by Ecoregion\"\n",
+    "colors = [\"#cf513e\", \"#1d6b99\"]\n",
+    "labels = [\"Warm\", \"Cold\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chart.feature_groups(\n",
+    "    features,\n",
+    "    x_property,\n",
+    "    y_property,\n",
+    "    series_property,\n",
+    "    title=title,\n",
+    "    colors=colors,\n",
+    "    x_label=\"Ecoregion\",\n",
+    "    y_label=\"January Temperature (°C)\",\n",
+    "    legend_location=\"top-right\",\n",
+    "    labels=labels,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/YFZlJtc.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## feature_histogram"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "source = ee.ImageCollection(\"OREGONSTATE/PRISM/Norm91m\").toBands()\n",
+    "region = ee.Geometry.Rectangle(-123.41, 40.43, -116.38, 45.14)\n",
+    "features = source.sample(region, 5000)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "geemap.ee_to_df(features.limit(5).select([\"07_ppt\"]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "property = \"07_ppt\"\n",
+    "title = \"July Precipitation Distribution for NW USA\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fig = chart.feature_histogram(\n",
+    "    features,\n",
+    "    property,\n",
+    "    max_buckets=None,\n",
+    "    title=title,\n",
+    "    x_label=\"Precipitation (mm)\",\n",
+    "    y_label=\"Pixel Count\",\n",
+    "    colors=[\"#1d6b99\"],\n",
+    ")\n",
+    "fig"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![](https://i.imgur.com/ErIp7Oy.png)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "geo",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}